Samuel Gershman

Samuel Gershman

Harvard University

H-index: 72

North America-United States

About Samuel Gershman

Samuel Gershman, With an exceptional h-index of 72 and a recent h-index of 67 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Computational neuroscience, cognitive science, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Computationally-informed insights into anhedonia and treatment by κ-opioid receptor antagonism

Optimizing competence in the service of collaboration

What have we learned about artificial intelligence from studying the brain?

The role of prospective contingency in the control of behavior and dopamine signals during associative learning

Human decision making balances reward maximization and policy compression

How do we reinforce climate action?

Devaluing memories of reward: A case for dopamine

Predictive representations: building blocks of intelligence

Samuel Gershman Information

University

Position

Professor

Citations(all)

21651

Citations(since 2020)

16619

Cited By

11821

hIndex(all)

72

hIndex(since 2020)

67

i10Index(all)

157

i10Index(since 2020)

155

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Samuel Gershman Skills & Research Interests

Computational neuroscience

cognitive science

machine learning

Top articles of Samuel Gershman

Title

Journal

Author(s)

Publication Date

Computationally-informed insights into anhedonia and treatment by κ-opioid receptor antagonism

medRxiv

Bilal A Bari

Andrew D Krystal

Diego A Pizzagalli

Samuel J Gershman

2024

Optimizing competence in the service of collaboration

Cognitive Psychology

Yang Xiang

Natalia Vélez

Samuel J Gershman

2024/5/1

What have we learned about artificial intelligence from studying the brain?

Samuel J Gershman

2024/2/10

The role of prospective contingency in the control of behavior and dopamine signals during associative learning

bioRxiv

Lechen Qian

Mark Burrell

Jay A Hennig

Sara Matias

Venkatesh N Murthy

...

2024

Human decision making balances reward maximization and policy compression

PLOS Computational Biology

Lucy Lai

Samuel J Gershman

2024/4/26

How do we reinforce climate action?

Sustainability Science

Jiaying Zhao

Jade Radke

Frances S Chen

Sonya Sachdeva

Samuel J Gershman

...

2024/4/11

Devaluing memories of reward: A case for dopamine

bioRxiv

Benjamin Fry

Nicollette Russell

Victoria Fex

Bing Mo

Nathan Pence

...

2024

Predictive representations: building blocks of intelligence

arXiv preprint arXiv:2402.06590

Wilka Carvalho

Momchil S Tomov

William de Cothi

Caswell Barry

Samuel J Gershman

2024/2/9

Blocked training facilitates learning of multiple schemas

Communications Psychology

Andre O Beukers

Silvy HP Collin

Ross P Kempner

Nicholas T Franklin

Samuel J Gershman

...

2024/4/9

Dynamic computational phenotyping of human cognition

Nature Human Behaviour

Roey Schurr

Daniel Reznik

Hanna Hillman

Rahul Bhui

Samuel J Gershman

2024/2/8

Scaling models of visual working memory to natural images

Communications Psychology

Christopher J Bates

George A Alvarez

Samuel J Gershman

2024/1/3

People reward others based on their willingness to exert effort

Available at SSRN 4766719

Yang Xiang

Jenna Landy

Fiery Cushman

Natalia Vélez

Samuel J Gershman

2024/3/5

Successor-Predecessor Intrinsic Exploration

Advances in Neural Information Processing Systems

Changmin Yu

Neil Burgess

Maneesh Sahani

Samuel J Gershman

2024/2/13

Toward a More Neurally Plausible Neural Network Model of Latent Cause Inference

Comput. Cogn. Neurosci. Conf

Qihong Lu

Tan T Nguyen

Uri Hasson

Thomas L Griffiths

Jeffrey M Zacks

...

2023

A probabilistic successor representation for context-dependent learning.

Psychological Review

Jesse P Geerts

Samuel J Gershman

Neil Burgess

Kimberly L Stachenfeld

2023/5/11

The role of memory in counterfactual valuation.

Journal of Experimental Psychology: General

Natalie Biderman

Samuel J Gershman

Daphna Shohamy

2023/6

Empowerment contributes to exploration behaviour in a creative video game

Nature Human Behaviour

Franziska Brändle

Lena J Stocks

Joshua B Tenenbaum

Samuel J Gershman

Eric Schulz

2023/9

Actual and counterfactual effort contribute to responsibility attributions in collaborative tasks

Cognition

Yang Xiang

Jenna Landy

Fiery A Cushman

Natalia Vélez

Samuel J Gershman

2023/12/1

Does a Curriculum Improve Perceptual Decision Making?

Proceedings of the Annual Meeting of the Cognitive Science Society

Younes Strittmatter

Markus Spitzer

Miguel Ruiz-Garcia

Samuel Gershman

Sebastian Musslick

2023

The neural architecture of theory-based reinforcement learning

Neuron

Momchil S Tomov

Pedro A Tsividis

Thomas Pouncy

Joshua B Tenenbaum

Samuel J Gershman

2023/4/19

See List of Professors in Samuel Gershman University(Harvard University)

Co-Authors

H-index: 137
Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 106
David Blei

David Blei

Columbia University in the City of New York

H-index: 89
Nathaniel D. Daw

Nathaniel D. Daw

Princeton University

H-index: 76
Noah D. Goodman

Noah D. Goodman

Stanford University

H-index: 68
Kenneth A. Norman

Kenneth A. Norman

Princeton University

H-index: 63
Yael Niv

Yael Niv

Princeton University

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